{"id":"W7024287451","doi":"","title":"Raaka-aineen hankinta ja kierrätys Suomen metsäklusterin haasteena: Kohdeyrityksenä Corenso United Oy Ltd.","year":2008,"lang":"fi","type":"other","venue":"Osuva (University of Vaasa)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Quarter (Canadian coin); Investment (military)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012613,0.0006488808,0.0004210125,0.0008821519,0.002789618,0.007393325,0.0006241669,0.001895735,0.3223529],"category_scores_gemma":[0.002265922,0.0004423283,0.0003113499,0.0008822423,0.0009706139,0.003837426,0.00268909,0.00218345,0.100557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002814167,"about_ca_system_score_gemma":0.006642245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01734539,"about_ca_topic_score_gemma":0.05421248,"domain_scores_codex":[0.9987858,0.00007599883,0.00005777915,0.0002447658,0.0006828064,0.0001528787],"domain_scores_gemma":[0.9977676,0.0002673594,0.0001100426,0.0001229409,0.001020844,0.0007112825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002466681,0.0001583357,0.002046334,0.0004125264,0.00001165458,0.0005730148,0.001783701,0.0001102549,0.0066408,0.01615605,0.7523147,0.2195459],"study_design_scores_gemma":[0.00000360017,0.00001692643,0.000833023,0.0000714156,0.000002356467,0.00005759096,0.0005012772,0.00003708309,0.0006542808,0.0003118636,0.9975037,0.000006917202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01168764,0.01287837,0.002220385,0.04500829,0.006817451,0.0002252995,0.001403564,0.001434733,0.9183242],"genre_scores_gemma":[0.006158999,0.002243791,0.000590111,0.00101097,0.000101452,0.00001677221,0.0002340637,0.0002498443,0.989394],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3223529,"threshold_uncertainty_score":0.9665813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02924702262389165,"score_gpt":0.2138625727398509,"score_spread":0.1846155501159593,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}